AI Infrastructure
Phenom's AI looks past department and tenure to make a match, so someone in a different office or business unit surfaces with the same weight as someone the mentee already knows.
Finding a mentor still depends on who you already know. Phenom matches mentors and mentees on skills, interests, and goals. It suggests mentors from outside the mentee's own department, and turns every pairing into a step in a development plan.

Somewhere right now, a program owner is pairing mentors and mentees by hand, one name at a time. Or a roomful of leaders is spending days making those pairings. Either way, whoever makes the matches can only pair the people they already know. And once the pairs are made, nothing gets written down, so there's no way to know which relationships are still active. Phenom matches on skills and goals, and keeps a record of what happens next.
Mentoring that runs on skills, not chance.
When employees go looking for a mentor, the only candidates they can think of are the people they already work with. Phenom Mentoring recommends mentors based on skills, experience, and career goals, so a match rests on what the mentee needs to learn and what the mentor can teach.
Employees can ask Anyone can browse suggested mentors and send a request.
One profile Matching uses the same skills profile that powers career paths and gigs.
Beyond the department The right mentor can come from anywhere in the company.
People rarely want a mentor just to have one. They go looking when there's a gap to close on the way to a role they want. In Phenom, mentoring sits beside career paths, learning, and gigs on one employee profile, and it shows up in the development plan as a real step, aimed at the skill the mentee is working on.
A step, not a side project Mentoring lands in the plan, tied to a target role.
One place to grow Phenom is already where employees go for career paths, learning, and gigs.
Shaped to your culture Guided matching for some programs, open search for others.
Most mentoring happens outside any system: the pairs live in one person's spreadsheet, nobody has a record of who is matched with whom, and there's no way to prove the program made any difference. In Phenom, enrollment, matching, goals, and sessions sit in one place, so you can finally see what the program is doing.
A governed pool You decide who's eligible to mentor before any matching starts.
Progress you can see Goals and session notes live in the system, not in someone's inbox.
Automatic reminders The system sends them, so the program doesn't rest on one person's follow-up.

Mentor fit scored on skills, goals, and lived experiences, integration with the HRIS already tracking eligibility, and a mentor pool controlled by the program before any match is made.
Phenom's AI looks past department and tenure to make a match, so someone in a different office or business unit surfaces with the same weight as someone the mentee already knows.
Phenom connects to your HRIS, so eligibility, department, and tenure data stay current without a program owner updating a spreadsheet by hand.
Phenom is SOC 2 Type II certified and GDPR and CCPA compliant, with AES-256 encryption. Only mentors your program approves enter the matching pool, so eligibility is controlled before any match is suggested.
30%
reduction in turnover tied to lack of growth
1k+
active mentorship programs
10%
increase in employee engagement
Mentoring for us previously consisted of randomness... there was no visibility into it in terms of 'Why you? Why me?', which leads to some very awkward introductions.
Phenom helped us build a tool that created an ecosystem for us, not just for people to find their next jobs, but to actually grow within the company, build a network, and build mentorships.
Uncover how you can confidently apply intelligence and automation to match employees with the right mentors.